Why Can Positive Average Returns Coexist with Negative Compound Growth? The Arithmetic-Geometric Mean Gap in China's A-Share Market

A positive arithmetic mean return does not imply positive growth of wealth over multiple investment periods. This study employs monthly individual-stock returns of 4,647 A-shares listed on the Shenzhen and Shanghai Stock Exchanges in China from 2015 to 2024, and analyzes the difference between the stock-level arithmetic and geometric mean returns. The arithmetic mean return has a median of 0.78%, while the geometric mean return has a median of -0.13%. For 1,696 stocks, the arithmetic mean return is positive but the geometric mean return is negative (36.50% of the main sample; 45.79% of stocks with positive arithmetic mean returns). There is a significant and positive, but non-causal, relationship between return variance and the arithmetic-geometric mean gap. In a pooled winsorisation sensitivity check at the 1st and 99th percentiles, the variance coefficient rises from 0.147 to 0.462, consistent with the 0.5 coefficient in the small-return second-order approximation. This study demonstrates that average return should be accompanied by compound growth, volatility, and tail risk in long-horizon investment evaluation. But the evidence is not conclusive as to whether the Kelly allocation is optimal for all investors.

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Publication Details

Journal
Advances in Economics Management and Political Sciences
Published
2026-11-10
DOI
https://doi.org/10.54254/2754-1169/2026.38679
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
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article

Why Can Positive Average Returns Coexist with Negative Compound Growth? The Arithmetic-Geometric Mean Gap in China's A-Share Market

Isac Chen
Advances in Economics Management and Political Sciences
Financial Markets and Investment Strategies
article

Why Can Positive Average Returns Coexist with Negative Compound Growth? The Arithmetic-Geometric Mean Gap in China's A-Share Market

Isac Chen
article en

Abstract

A positive arithmetic mean return does not imply positive growth of wealth over multiple investment periods. This study employs monthly individual-stock returns of 4,647 A-shares listed on the Shenzhen and Shanghai Stock Exchanges in China from 2015 to 2024, and analyzes the difference between the stock-level arithmetic and geometric mean returns. The arithmetic mean return has a median of 0.78%, while the geometric mean return has a median of -0.13%. For 1,696 stocks, the arithmetic mean return is positive but the geometric mean return is negative (36.50% of the main sample; 45.79% of stocks with positive arithmetic mean returns). There is a significant and positive, but non-causal, relationship between return variance and the arithmetic-geometric mean gap. In a pooled winsorisation sensitivity check at the 1st and 99th percentiles, the variance coefficient rises from 0.147 to 0.462, consistent with the 0.5 coefficient in the small-return second-order approximation. This study demonstrates that average return should be accompanied by compound growth, volatility, and tail risk in long-horizon investment evaluation. But the evidence is not conclusive as to whether the Kelly allocation is optimal for all investors.

Advances in Economics Management and Political SciencesVol. 313(1)
Financial Markets and Investment Strategies
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